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Table of Contents
NCP Course N: fMRI / WS201819
Time and schedule
| Date and time: | Mondays 10:15 a.m. (10:00 a.m. if you have questions |
- Part 1: MR physics (Virginia Flanagin)
- Part 2: Experimental Design (Monica Emch)
- Part 3: fMRI data analysis (Virginia Flanagin
- Part 4: Tutorial for data analysis (Joshua Yudice)
Summary
An introduction to the theory and practice of functional and structural neuroimaging, with a combination of lectures, hands on experience with MRI, and data analysis methods including: functional magnetic resonance imaging (fMRI), morphometry and structural imaging including diffusion tensor imaging, simultaneous electroencephalography (EEG), and data analysis with e.g. SPM12. This is a unique opportunity to get to know the newest techniques in the field of neuroimaging, and learn about the type of research that is being done in this area in a number of different faculties around Munich.
Visit to the MRI machine
- Please sign-up for your preferred time slots to visit the MRI machine here
Location
- Room C11, Fifth Floor, Leopoldstraße 44
Organisers
- Virginia L. Flanagin (virginia.flanagin@lmu.de)
- Monica Emch (monica.emch@tum.de)
- Joshua Yudice (joshua.yudice@lrz.uni-muenchen.de)
Downloads
Slides from the course (restricted access)
Online resources
MR basics and physics
Animated introduction to MRI – MRI animations
ReviseMRI.com – Additional material for studying MRI
The basics of MRI – A more detailed introduction to MRI
MR Basics from Siemens. The book magnets, spins, and resonances and is a basic but solid reference for MR physics and image creation.
Analysis techniques
Human Brain Function, 2nd Edition – PDF drafts of book chapters
SPM12 manual – Manual to SPM
Reporting data
COBIDAS Report – Guidelines on how to write a paper that used fMRI
For fun
Software packages
SPM – a software package for functional neuroimaging
MRIcro/MRIcron – a software tool for image viewing and conversion
FSL – an alternative software package for functional neuroimaging (unix based)
